Predict Prevent Perform with AI Enabled Fault/Degradation Handling in High Power Electric Drives

#artificialintelligence #energy #machinelearning #powerelectronics

This talk presents a hierarchical classification of failure and degradation modes in multiphase electric drives, spanning component- to system-level effects, with a focus on AI/ML-enabled detection, classification, and mitigation. It explores the design and deployment of learning-based models within embedded control systems for real-time inference, highlighting co-execution strategies with existing control loops. Boundary conditions essential for reliable operation in high-power environments are discussed alongside techniques for ensuring model generalization, runtime fidelity, and system-level resilience under dynamic operational stresses.

This talk will be delivered by Satya Bharath from Silicon Austria Labs.

Bio: Satya is working as a scientist specializing in System-Level Integration Technologies within the Power Electronics Research Division at Silicon Austria Labs, since 2022. He holds a PhD focused on the intelligent monitoring of power electronics. His expertise includes the characterization of power semiconductors, data analysis and AI model development for health and condition monitoring, and the development of secure and dependable power electronics systems.

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• SDU Sønderborg
• Alsion 2
• Sønderborg, Vestsjaellands Amt
• Denmark 6400
• Room Number: M301

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• Starts 30 July 2025 10:00 PM UTC
• Ends 10 August 2025 10:00 PM UTC
• No Admission Charge

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